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Data Science

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Data Analysis

Coding-free AI data analysis using Orange - Lv.7 Time series analysis and association rules

Understanding and utilizing time series data analysis and correlation analysis! Easy and fast completion with Orange, an AI analysis tool without coding!

7 learners are taking this course

  • Masocampus
no-code
시리즈
이론 실습 모두
AI
Orange3
Big Data
apriori
arima

What you will learn!

  • Understanding the basic concepts of time series data and the characteristics of the data

  • Data pattern analysis through time series decomposition

  • Basic principles and practice of time series forecasting models

  • Training vector autoregressive (VAR) and ARIMA models

  • Learn the basic concepts and application cases of association analysis.

From understanding and utilizing time series data and correlation analysis, Orange's AI analysis tool makes it quick and easy!



Orange Data Analysis Course, packed with effective curriculum

This is a great opportunity to unleash your data's potential, something you never knew you had!
Orange makes it easier and simpler to understand the concepts, examples, and related techniques of time series data and association rules.

– The best course for practitioners who want to gain business insights through data.
– Basic concepts of time series data and model/correlation analysis and various practical examples applying them.
– Rich explanations of how to practically apply the theories you learn

Everyone wants it, but no one can do it.
Seize the opportunity to leverage data to achieve better results!
This is the final lecture where you can experience the value of data analysis in real-world business situations.



Course Experience Group Reviews
Corporate lecture specialist, lectures created with know-how


A lecture that helps even beginners understand difficult concepts.

I was interested in data visualization, and it was great to learn concepts that aren't always easy to learn.

I was worried about whether I would be able to understand difficult concepts like time series analysis and follow along with the practical exercises, but the instructor provided specific examples whenever he explained, making it easy to understand.
In particular, the concept of calmness was easily understood because it was explained by showing the results directly.

I believe I will be able to receive assistance in various tasks in the future. Thank you.

Experience Group Review (Ro**)



A lecture that makes you feel both learning and interest.

After leaving my job, I had a lot of concerns about my next career path. I wanted to try something new, so I took this course.

After learning about Orange, which is introduced in this lecture , I feel both excited and proud because I can handle data myself!
I think it will be helpful to be able to use data analysis using time series analysis in real work soon .

Experience Group Review (tk**)



From practical application to real-world application with sufficient practice

This lecture is really helpful because it doesn't just cover theory, but also provides practical training and how to apply it in real work!

I realized how useful time series data and correlation analysis can actually be, and I thought that if I studied it step by step, I could use it too.
I am satisfied with the instructor's thorough explanation of concepts and the high relevance of practical training and real-world practice by showing analysis results each time.

Experience Group Review (P**)



AI Data Analysis Without Coding - Level 7 Time Series Analysis and Association Rules Curriculum Features

This is a core lecture that teaches the concepts and applications of time series data and correlation analysis using Orange, and presents methods for deriving business insights .


1. Understanding the basic concepts of time series data and the characteristics of the data
Explains the basic characteristics of time series data, such as time independent variables and autocorrelation, and learns about stationary and non-stationary data in the process of analyzing them.


2. Data pattern analysis through time series decomposition
Practice systematic analysis of data by decomposing elements such as trends, seasonality, cyclicality, and white noise that make up time series data.


3. Basic Principles and Practice of Time Series Forecasting Models
Practice learning and practical application of time series forecasting models such as autoregressive models (AR) and moving average models (MA).


4. Training vector autoregressive (VAR) and ARIMA models
Practice analyzing multivariate time series data using the VAR model and predicting future data patterns using the ARIMA model.


5. Learning the basic concepts and application cases of association analysis
Learn the basics of the Apriori algorithm and how to calculate indicators such as support, confidence, and improvement.


Premium lectures for everyone,

Increase your competitiveness with data analysis using Orange today!



We'll feed you everything. Just prepare your mind to take the class!

1. Apply for a class

2. Follow the instructor's instructions and use Orange.

3. Improve performance with time series data/correlation analysis.

The 3 Steps to Success: Now is the Time


Learn this!

Enhance your data forecasting capabilities with ARIMA models.

Data differentiation makes complex time series data easier to view.

Applying a personalized recommendation system using association rule analysis

Practice time series data analysis using the moving average method.



Strengthening data-driven predictive capabilities

Develop basic future trend analysis skills using time series data without complex technology.


Increased value through efficient model application

Analyze data more systematically by selecting an effective prediction model according to the situation through lectures.

Using correlation analysis to solve practical problems

Utilize techniques to explore relationships between various data sets and develop customized business strategies based on these data.


New opportunities for data analysis using Orange,
Learn quickly and easily now!


Leveraging data effectively is now an essential strategy.

Take this lecture now and use the data
Take your business to the next level!



Introducing the knowledge sharer



I confidently recommend this to these people.

– Those who want to strengthen their practical data analysis skills
– Those who want to improve their data analysis skills without difficult coding
– Those who want to practically utilize time series data and correlation analysis
– Those who feel the limitations of Excel and want a simpler advanced analysis tool
– Job seekers who want to highlight their uniqueness in the job market
– Office workers considering a career change to the IT field

Data analytics is no longer a field unrelated to you.
If you want to predict future data and produce effective results without coding skills,

Take this course right now.



Lecture Features



Data is a critical element in determining the direction of a business.

Data is not the technology itself, but rather the object that must be processed through technology.

Have you been putting off studying data analytics? It's not too late!
Leverage your data now to seize better opportunities.



Expected Questions Q&A

Q. Do I need prior knowledge of artificial intelligence, coding, or design to take this course?
A. This course does not require any prior knowledge of AI, coding, or Excel. We will cover the basics so anyone can easily follow along. However, you can gain a more comprehensive understanding of the course content by taking the previous Orange Course Level 1 or Level 2.

Q. Are there any requirements or prerequisites for taking the course?
A. If you have never used Orange before, we recommend that you learn the basic usage and installation methods in advance to make the course more smooth.

Q. Orange? Do I need to purchase separate software?
A. Orange is free software that allows anyone to easily build an AI data analysis environment. The portable version allows use without an external internet connection, making it ideal for use in high-security work environments.


Please check before taking the class!

  • Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture screen and the practice screen .


  • Additionally, since the training is conducted based on Windows OS, we recommend taking the course in a Windows environment.

  • Lecture notes and practice files are available in the <00. Textbook Download Center> section.


Recommended for
these people

Who is this course right for?

  • Those who want to strengthen their practical data analysis skills

  • Anyone who wants to improve their data analysis skills without difficult coding

  • For those who want to make practical use of time series data and correlation analysis

  • For those who feel the limitations of Excel and want a simpler advanced analysis tool

Need to know before starting?

  • If you take the previous level, Orange Lecture Lv. 1 or Lv. 2, you will be able to understand the lecture content more smoothly.

  • You can learn more easily by taking this course after becoming familiar with the basic usage of Orange.

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Curriculum

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15 lectures ∙ (5hr 49min)

Course Materials:

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